Journal Articles

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A comparative study of subject headings in university libraries in karnataka
(Journal of Library Development, 2018-08) Harinarayana, N. S.; Chandrappa
Subject cataloguing is considered more intellectually intriguing than the descriptive cataloguing. Quality of subject catalogues have been the area of interest for researchers. The present study attempted to analyse the subject catalogue records from four university libraries in Karnataka. The result showed that the subject access to the holdings of the university libraries need to be improved. Subject cataloguers have to pay immediate attention in improving the subject access.
Air pollution by inland waterways transportation in India
(IJSRST, 2023-06) Mehrotra, Parag.; Veera SethilKumar G.
Economy of any country depends on the existence of an efficient transport sector. There exists different modes of transportation such as railways, roadways, inland waterways, coastal shipping and airways. Sea freight is the best choice for international freight shipping because ships are used for transporting 80% of the world’s goods by volume. But at the same time, it becomes a great threat to human and ecosystem in the form of carbon emissions. Now-a-days, inland waterways are preferred over roadways and railways for domestic shipping in all the countries. India invests more in the development of inland waterways to have a cost effective cargo shipping. As the number of inland vessels increases, it may lead to the severe impact on environment due to more carbon emissions. Unless steps to reduce carbon emissions from vessels are adopted, it could increase by as much as 20% to 120% by 2050. This study reviews the inland waterways transportation of India and investigates the air pollution from inland vessels. Keywords: inland vessel; air pollution; carbon emission; transportation; environment
An examination of the quality of catalogue records of management institutes in india
(SRELS Journal of Information Management, 2018-04) Chandrappa; Harinarayana, N. S.
The purpose of this study is to examine the quality of catalogue records in the top five management institutes in India. The present study attempts to investigate the error rate found in the catalogue records of five management institutes by comparing with bibliographic records of Library of Congress (LoC). The study analysed the accuracy of 293 catalogue records. The errors in the data were listed and categorised as major and minor errors. The finding shows that while LoC records are absolutely error free, the quality of catalogue records of management institutes, on the other hand, was far from acceptable level. 1093 errors from 251 records were found amounting to 4.35 errors per record. These results show that there is a need for libraries in India to take up the bibliographic data entry more seriously than ever before.
Analysis of band Selection algorithms for endmember extraction in hyperspectral Images
(IOSR-JECE, 2016-12) Rashini, M; Veera SenthilKumar, G.
This paper presents a novel approach of band selection for dimensionality reduction in Hyperspectral images (HSI). There are several methods of dimensionality reduction which can be further categorized into two groups; feature extraction and feature or band selection. Due to transformation in feature extraction, the critical information may have been distorted. Hence feature selection is preferable for dimensionality reduction because it preserves the relevant original information. Despite many algorithms exist for dimensionality reduction; it is even now a challenging task of selecting informative bands from the large volume data. The number of bands is estimated with the concept of Virtual Dimensionality (VD), because it provides reliable estimate. Bands are selected from hyperspectral images using Exemplar Based Band Selection (EBBS). End members are extracted from the selected bands using Simplex Growing Algorithm(SGA). The performance of EBBS is compared with the existing band selection techniques such as Constrained Band Selection (CBS) and Similarity Based Band Selection (SBBS) using the spectral angle distance as a measure. Keywords: Hyperspectral images, Virtual Dimensionality, Simplex Growing Algorithm, Exemplar based band selection, Spectral angle distance.
Bibliometrics to Altmetrics and its impact on Social media
(International Journal of Scientific & Innovative Research Studies (IJSIRS), 2015-03) Mishra, Anil Kumar; Kumar, Satish
In the age of Web 2.0, individuals are strongly connected in the virtual worlds and form diverse online communities. Recently, the transmission of information in these online communities has gained much attention, partly because of the enormous popularity of online social networking sites and their potential marketing impact. The social media tools available on the internet assist the encouragement of science dramatically, and the change is happening in real time models. Expansion of World Wide Web and newer technologies has improved the ways in which science is communicated and its assessment techniques. The use of conventional metric tools judges the impact of scholarly publications using citation and download counts. They are broadly used to evaluate articles, authors, and disciplines on publishers' platforms. These tools analyze the citation data in normal course of time and make them available. A barrier to spreading of research is that it depends on the end-user searching for or ‘pulling’ relevant knowledge from the literature base. Social media instead ‘pushes’ relevant knowledge directly to the end-user, via blogs and sites such as Facebook and Twitter. The social media is very effective at improving and spreading seems well accepted, but, remarkably, there is no evidence to support this claim.
Big data technology: opportunities and challenges
(Journal of Library, Information and Communication Technology, 2016) Mishra, Anil Kumar; Kumar, Satish
The increasing volume of information captured by enterprises, upsurge of multimedia and social media, and the Internet of Things (IoT) is fueling exponential growth in Big Data analytics. Every day close to With the volume and variety of data expanding exponentially, organizations that are able to capture quintillion bytes of data is being created and according to IDC report on Digital Universe, from now until 2020, the digital universe will about double every two years. Big Data by itself is meaningless, unless it translates to or helps us drive relevant outcomes. With the volume and variety of data expanding exponentially, organizations that are able to capture and analyze it are bound to have a much higher competitive advantage over those that don't. But choosing how to go about using Big Data is a tough puzzle to crack. This paper deals with such opportunities and challenges of big Data. In this paper we have mentioned some open source tools and technologies to create, manipulate, and manage such 'Big Data'.
Cloud Computing for Library Resources and Services
(Journal of Library, Information and Communication Technology, 2013-06) Mishra, Anil Kumar
Cloud Computing is a new technology model for IT services which many business and organizations are adopting. It allows them to avoid locally hosting multiple servers and equipment and constantly dealing with hardware failure, software installs, upgrades and compatibility issues. Cloud computing can transform the way systems are built and services delivered, providing libraries with an opportunity to extend their impact. This article defines Cloud Computing and reveals how it is different and secure from other types of computing. The purpose of this article is to look specifically at how Cloud Computing can be employed by Libraries and what needs to be considered before moving into a Cloud Computing solution. It also discusses how Cloud Computing solutions could be beneficial to libraries in three basic areas: technology, data and community.
Clustering based band selection for endmember extraction using simplex growing algorithm in hyperspectral images
(Springer, 2017-03) Veera SenthilKumar, G.; Vasuki, S.
With the advancement in technology, hyperspectral images have potential applications in the field of remote sensing due to their high spectral resolution. Despite the hyperspectral image providing abundant information, its analysis suffers from the problem of high dimensionality. Hence, Dimensionality Reduction (DR) is an essential task in all hyperspectral image analysis. Band Selection, which is one of the DR techniques, is still a challenging issue even though many algorithms have been developed. To provide remedy for this issue, this paper explores a novel approach for band selection using K-means clustering on statistical feature in hyperspectral images. The proposed method of clustering based band selection for DR is simple and accurate. A reliable estimate of number of bands to be selected is provided by Virtual Dimensionality (VD). Informative bands preserving maximum information are selected based on the statistical feature, the variance using K-means Clustering technique. Further, our proposed work involves the utilization of the effectiveness of Simplex Growing Algorithm (SGA) on endmember extraction in association with clustering based band selection. Using Fully Constrained Least Squares (FCLS) method, abundance fraction is estimated based on endmember signatures, which are derived using Endmember Extraction Algorithm (EEA). The proposed work is investigated and compared with that of N-FINDR and Vertex Component Analysis (VCA) algorithms. The performance of the proposed algorithm is evaluated using Root Mean Square Error (RMSE), Spectral Angle Distance (SAD) and computation time. Experimental results show that the proposed clustering based band selection with SGA endmember extraction algorithm reduces the average SAD by 8 to 10 % and the average RMSE by nearly 1 %, compared to that of N-FINDR and VCA algorithms. In terms of computation time, the proposed band selection based DR with SGA algorithm is seven times faster than conventional transform based DR with SGA algorithm
Determination of absorption coefficients of different material
(IJRAR.ORG, 2023-05) Puranik, Sanjay M.; Erande, Aparna.
Linear and mass absorption coefficients and its related data for various soils have been determined using simple G.M. tube experiment. Strontium 90 continuous beta source is used for measurement of counts. Values are measured for aluminum absorber and then for soil samples. Among all soils, it is observed that Red soil absorbed maximum beta radiation.
Excellence in Library Services by using Mobile Technology
(Journal of Library Information and Communication Technology, 2015) Mishra, Anil Kumar; Kumar, Satish
Mobile phones and other handheld devices such as i-pads, smart phones, e-readers, tablets etc., are among such devices that are basically used for communication and performing multipurpose tasks such as voice communication, sending smses, taking snapshots/videos, storing phone numbers, playing music, voice recording etc., many are not even aware that these devices can also be used for seeking information from libraries. Public library has seen tremendous changes and evaluated from paper to electronic media. Proliferation of information in electronic media found great impact on libraries. Mobile Technology is one of the aspects of Electronic Media. The main objective of this paper is to focus on how mobile technology is being used in libraries as well as services provided through technology. In this quest, an attempt has been made here to bring out the meaning of mobile libraries, types of library services provided through mobile technology and glimpse of trends, developments & various projects undertaken by different leading libraries across the globe, especially in the developed countries and also the role of vendors in this regard. India’s position in this scenario is also seen. Also this paper is an attempt to understand how mobile technology is useful in improving and providing better library services.
Exploring dimensions of metadata quality assessment: a scoping review /
(SAGE Publications, 2024-03-24) Chandrappa
Assessing metadata is of paramount importance for several critical reasons. Metadata plays a pivotal role in various aspects, including data retrieval and search, data organization, interoperability, data preservation, and the overall user experience. The purpose of this scoping review is to identify the most commonly measured dimensions of metadata quality in existing studies on metadata quality assessment. The study also investigates the types of data sources and countries contributing most to the literature on metadata quality assessment and the types of documents used to communicate their findings. The methodology involves the application of PRISMA model for qualitatively evaluating 55 studies on metadata quality assessment. The co-occurrence analysis is made on the title and abstract of selected articles using VOSviewer 1.6.18 version, visualization software. The review found that completeness, accuracy, consistency, accessibility, conformance, provenance, and timeliness are commonly used dimensions in metadata quality assessment. However, there is no consensus on their exact definition and measurement, indicating a need for further investigation into less commonly assessed quality dimensions. Digital repositories and open government data are the most commonly studied data sources, with the United States being the leading contributor and journal articles being the most commonly used document type. The cluster analysis based on co-occurrence of terms in title and abstract found three research areas, “Metadata Quality Assessment,” “Metadata Quality Dimensions,” and “Metadata Quality Applications, Frameworks, and Approaches” as prominent areas of research. The originality of the study lies in its methodology that involves rigorous screening of articles on metadata quality. It is a first attempt to qualitatively synthesize literature on metadata quality. The article emphasizes the importance of metadata quality research and the need to improve the flexibility of metadata quality assessment tools to facilitate better metadata quality assurance measures.
Hybrid noise removal in color images using wavelet shrinkage approaches of PURE-LET and Neighshrink SURE
(2013-04) Karthikeyan, P.; Vasuki, S; Veera SenthilKumar, G.
Image denoising is an indispensable task where the complication of noise is prevalent and the contrast of low cost surveillance camera is more over low due to various image acquisitions. For the past two decades, denoising is performed by the Wavelet transform. The proposed work presents a novel approach of denoising by Poisson Unbiased Risk Estimate- Linear Expansion of Threshold (PURE-LET) and Neighshrink-Stein’s Unbiased Risk Estimate (SURE) for mixed Poisson and Gaussian noise. Finally the potential of the proposed approach through extensive comparisons with state-of-the-art techniques that are specifically tailored to the estimation of Poisson intensities are demonstrated. Neigh Shrink is an efficient image denoising algorithm based on the Discrete Wavelet Transform (DWT).The observed results reported here are in encouraging agreement.
Indian COVID-19 preprints submissions in bioRxiv and medRxiv preprint servers
(medRxiv: The preprint server for health sciences, 2023) Vasantha Raju, Narayanaswamy.; Adakawa, Murtala Ismail.; Harinarayana, N. S.; Chandrappa
Indian covid-19 preprints submissions in biorxiv and medrxiv preprint servers /
(medRxiv, 2023-02-16) Chandrappa
This research aimed at determining the growth of deposition of preprints on servers by Indian researchers during COVID-19 pandemic. In the pre-pandemic period, the dominant server was arXiv upon which research from physics and other related domains have been the most predominant depositors. When the pandemic erupted and the need to share research findings became imperative, many previously dormant preprint servers received vibrant activations from several scientists across the globe. This is with the intention of bridging the gap between delays inherent in reviewing process and the dire need to share information for finding everlasting solutions to the raging pandemic. Many researchers, institutions, countries, etc. have contributed in this regard. The study used quantitative method and iSearch Portfolio expert-curated source for publications and preprints related to either COVID-19 or the novel coronavirus SARS-CoV-2 developed and maintained by National Institute of Health (NIH), US iSearch COVID-19 Portfolio. The study examined the Indian COVID-19 preprints deposited in bioRxiv and medRxiv preprint servers. The findings indicated that, Indian researchers have posted their papers in large numbers in bioRxiv and medRxiv servers with the medRxiv having the highest preprints (417, 40.44%) in 2020 against its counterpart bioRxiv (118, 10.96%) in the same year. Similarly, infectious diseases (except HIV/AIDS) (311) had the highest recurrence of the preprints submitted for deposition in servers. This is followed by epidemiology (263), public and global health (122), bioinformatics (59), among others. There is high collaboration among researchers who deposited their preprints in these servers where about 257 (24.93%) preprints were co-authored by 11+ authors followed by 3-authored and 4-authored with 124 preprints respectively (together accounts for 24.06%) and 2-authroed (114 (11.04%) preprints) respectively in a diminishing manner. The study concluded that, Indian researchers are actively participating in depositing preprints in servers notably bioRxiv and medRxiv.
Information needs and usage pattern in maritime industry - Considerations & need for setting up a national documentation centre for maritime information
(International Journal of Innovation Research & Development, 2015-07) Padmashree, S.; Ramesh, U. S.
In any field of study, R & D requires information and information resources and services, through which National development is directly affected. Keeping in view the maritime information needs of our country by government establishments, the industry and the corporate sector an attempt has been made in this paper to show the need for setting up of a “National Documentation Centre for Maritime Information”. The model design of NDCMI and its possible services have been sketched out for further review and suggestions from its stakeholders.
Investigation into diligence in metadata records of mysore university library
(DESIDOC Journal of Library & Information Technology, 2016-11) Chandrappa; Harinarayana, N. S.
in the metadata hamper the retrieval of bibliographic records. The present study attempts to investigate the error rate found in the metadata records of the Mysore University Library (MUL). The MUL is one of the oldest university libraries in the country, India. The study selected and analysed the accuracy of 624 metadata records of the Mysore University Library along with 491 records of Library of Congress (LoC). The assessment of the selected records discerned two main types of errors notably: Major and minor errors. These findings illustrate and prove that the percentage of error rate in MUL is higher than that of LoC. Consequently, the study highlighted that the prevailing error ratio between both institutions reaches almost up to 5:1 (MUL: LoC).
Knowledge access using CMS platform: development of CVRDE library portal
(International Journal of Scientific & Innovative Research Studies, 2014-11) Mishra, Anil Kumar; Muralidhar, S.; Sathiyamoorthy, K.
This paper discusses the development of dynamic library website, using Drupal – an open source Content Management System (CMS). A dynamic website offers library an opportunity to connect and interact with its patrons. The main purpose of this paper is to showcase steps involved in the development of Knowledge Resource Centre (KRC) Portal and to increase awareness among library professionals about the open source CMS and its benefits. It explains our experience of working with Drupal to enable other library professionals to evaluate its suitability to their environment. This paper will describe in brief the free and open source CMS – Drupal, characteristics, features, requirements, installation steps, and how it can be used for developing attractive and dynamic websites.
Library services in higher education institutions: issues and challenges during and after covid-19 period
(Indian Journals, 2021-12-17) Rajanikanta, S.T.; Devendrappa, T.M.
The purpose of writing this article is to create the awareness among the library professionals regarding the functionality of higher educational institutional libraries who preferred to serve their users during the period of covid-19 pandemic and to discuss the issues and challenges they have faced while confronting the tough situation and new techniques they used to beat the pandemic situation and at the same time the role played by library staff of higher educational institutions while providing information for needy users, to avoid the transformation of coronavirus during the transaction of library physical information resources/materials, library services to their users and also the precautionary measures to be taken to provide the service to reader or users.
Marine information-seeking behaviours and AI chatbot impact on information discovery
(Information Discovery and Delivery | Emerald Publishing Limited, 2024-07-05) A. Subaveerapandiyan; R. Vijay Kumar; S. Prabhu
Purpose – This research investigates students’ information-seeking behaviours at the Indian Maritime University (IMU) and assesses the impact of AI chatbots on their marine science knowledge and awareness. The study aims to provide insights into the role of AI-driven solutions in enhancing knowledge sharing and the challenges faced in using AI tools for marine information retrieval. Design/methodology/approach – The study used a stratified random sampling method, encompassing 152 respondents from IMU’s B.Sc. in Nautical Science and B. Tech in Marine Engineering programs. Data collection involved a structured electronic survey questionnaire. The analysis encompassed descriptive statistics using SPSS. Findings – Information needs were met through diverse channels, with 57.9% of respondents using AI-driven chatbots for marine information retrieval. AI significantly recommended research papers (61.8%). The chatbot positively impacted marine science awareness and knowledge, with a mean satisfaction rating of approximately 3.3. Challenges included insufficient access to AI tools, data privacy concerns and accuracy issues. Originality/value – This study contributes original insights into the information-seeking behaviours of marine students at IMU and the impact of AI chatbots on their knowledge and awareness. It highlights the multifaceted nature of marine information retrieval, the effectiveness of AIdriven solutions in enhancing knowledge sharing and the challenges that need to be addressed for the broader adoption of AI tools in this context.
Maritime information databank – A suggested model
(Library Philosophy and Practice, 2018-12) Padmashree, Samavedam; Sasikala, C.
As a part of continuing research, it is important for any country to identify technological advances in any field and create a national trust of information for use by researchers and general users. With reference to the marine sector, which is a prime sector for the development of any country, it is essential to create such data banks of information to cater to the needs of ship builders, ship owners and the researchers. This article discusses few of the processes involved for the creation of a maritime data bank.